The Learning Organization for attaining inclusive growth: A new paradigm for the emerging educational market
This chapter aims to apply the concept of the learning organization for the higher educational institutions (HEIs) for attaining inclusive growth. For the theoretical underpinning, the concept of the professional learning community has been considered because there exists only a very thin difference with the learning organization concept. The researchers used a qualitative approach to analyze the literature resources to find the most promising variables associated with the learning organization and used Dedoose (qualitative software) to select the variables. It is found that variables such as knowledge management, inspired learning, team learning, and transcending organizational boundaries are the most important variables associated with a learning organization. The corporates which have implemented LO have been very successful and one of them is Royal Dutch Shell. The Indian Higher Educational Institutions are the backbone of the Indian economy. However, there is no yardstick to measure success. LO can be implemented to check the growth. This research work will serve as a base for motivating future researchers to make use of the LO concept for drafting educational policy for inclusive growth. If all HEIs are learning organizations, India will soon be a highly rich country. Indian HEI has not practised the concept of learning organization. Henceforth, the suggestions and recommendations will be a new yardstick, which can be used to measure the present status and to frame strategies to improvise and scale success. 2022 selection and editorial matter, Sudhir Rana and Avinash K Shrivastava.
Kallarakal T.K.; Anand Shankar Raja M.; Kulkarni M.S.
Doing Business in Emerging Markets: Progress and Promises, pp. 54-78.
Kallarakal T.K., School of Commerce, Finance and Accountancy, Christ University, Bengaluru, India; Anand Shankar Raja M., Department of Commerce, Christ University, Bengaluru, India; Kulkarni M.S., Symbiosis Centre for Information Technology, Pune, Hinjewadi, India
Motivational Behaviour of Tourism Employees in Relation to Organisational Culture and Career Orientations
The productivity and effectiveness of any organisation depends mainly on the performance level of the employees in the organisation. Human behaviour scientists over the years have conducted various studies and have concluded that, the performance of employees in any organisation depends largely on their motivational behaviour. Reviews of related literature confirm the role of various factors in the motivational behaviour of employees including organisational culture and career orientation of employees. The title of the present study is Motivational Behaviour of Tourism Employees in Relation to Organisational Culture and Career Orientations. The major objectives included ascertaining the relationship between motivational behaviour and organisational culture and career orientations of tourism employees and finding out whether differences in demographic variables would account for significant differences in motivational behaviour. The population of the study consisted of 323 employees of public sector, private sector and multinational companies working in travel agencies, tour operations, airlines and hotels and resorts in Bangalore. The sampling technique employed was judgment sampling. For the present study three tools namely: Motivational Analysis of Organisations- Behaviour (MAO-B) by Pareek (2003), Organisational Culture Survey by Pareek (2003) and Career orientations Inventory by Schein (1990) were used to collect data. The findings of the study show that while two aspects of organisational culture namely internal and future oriented influence the motivational behaviour of employees working in the private sector, no aspect of organisational culture has any influence on the motivational behaviour of employees working in the public sector. Further, only ambiguity tolerant aspect of organisational culture influence the motivational behaviour of employees working in multinational companies.
Anti-phishing; Cyber security; Identity theft; Phishing; Social engineering
Phishing attack is one of the most common form of attack used to get unauthorized access to users' credentials or any other sensitive information. It is classified under social engineering attack, which means it is not a technical vulnerability. The attacker exploits the human nature to make mistake by fooling the user to think that a given web page is genuine and submitting confidential data into an embedded form, which is harvested by the attacker. A phishing page is often an exact replica of the legitimate page, the only noticeable difference is the URL. Normal users do not pay close attention to the URL every time, hence they are exploited by the attacker. This paper suggests a login framework which can be used independently or along with a browser extension which will act as a line of defense against such phishing attacks. The semi-automated login mechanism suggested in this paper eliminates the need for the user to be alert at all time, and it also provides a personalized login screen so that the user can to distinguish between a genuine and fake login page quite easily. 2018 Authors.
International Journal of Engineering and Technology(UAE), Vol-7, No. 3, pp. 42-46.
https://doi.org/10.14419/ijet.v7i3.4.14673 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082374593&doi=10.14419%2fijet.v7i3.4.14673&partnerID=40&md5=65688aa0f2d3603962cb604da2c8213e
Kalloor E.A., Department of Computer Science, Christ University, Bengaluru, 560029, India; Mishra M.K., Department of Computer Science, Banaras Hindu University, Varanasi, 221005, India; Paulose J., Department of Computer Science, Christ University, Bengaluru, 560029, India
Extending schizophrenia diagnostic model to predict schizotypy in first-degree relatives
Recently, we developed a machine-learning algorithm EMPaSchiz that learns, from a training set of schizophrenia patients and healthy individuals, a model that predicts if a novel individual has schizophrenia, based on features extracted from his/her resting-state functional magnetic resonance imaging. In this study, we apply this learned model to first-degree relatives of schizophrenia patients, who were found to not have active psychosis or schizophrenia. We observe that the participants that this model classified as schizophrenia patients had significantly higher schizotypal personality scores than those who were not. Further, the EMPaSchiz probability score for schizophrenia status was significantly correlated with schizotypal personality score. This demonstrates the potential of machine-learned diagnostic models to predict state-independent vulnerability, even when symptoms do not meet the full criteria for clinical diagnosis. 2020, The Author(s).
Kalmady S.V.; Paul A.K.; Greiner R.; Agrawal R.; Amaresha A.C.; Shivakumar V.; Narayanaswamy J.C.; Greenshaw A.J.; Dursun S.M.; Venkatasubramanian G.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.1038/s41537-020-00119-y https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097026109&doi=10.1038%2fs41537-020-00119-y&partnerID=40&md5=2adbe2c9d5fe1f75eb25c5e9a87f152c
Kalmady S.V., Alberta Machine Intelligence Institute, University of Alberta, Edmonton, AB, Canada, Canadian VIGOUR Centre, University of Alberta, Edmonton, AB, Canada; Paul A.K., Alberta Machine Intelligence Institute, University of Alberta, Edmonton, AB, Canada, Department of Computing Science, University of Alberta, Edmonton, AB, Canada; Greiner R., Alberta Machine Intelligence Institute, University of Alberta, Edmonton, AB, Canada, Department of Computing Science, University of Alberta, Edmonton, AB, Canada, Department of Psychiatry, University of Alberta, Edmonton, AB, Canada; Agrawal R., Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Amaresha A.C., Department of Sociology and Social Work, Christ- Deemed to be University Bangalore, Bangalore, India; Shivakumar V., Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, India, Department of Integrative Medicine, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Narayanaswamy J.C., Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bangalore, India, Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Greenshaw A.J., Department of Psychiatry, University of Alberta, Edmonton, AB, Canada; Dursun S.M., Department of Psychiatry, University of Alberta, Edmonton, AB, Canada; Venkatasubramanian G., Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bangalore, India, Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, India
A comprehensive review on natural macromolecular biopolymers for biomedical applications: Recent advancements, current challenges, and future outlooks
Biocompatible; Biomedicine; Natural polymers; Regenerative medicine; Tissue engineering
Versatile material properties coupled with high degree of biocompatibility and biodegradability has made biopolymers as potential candidates for diverse applications in the biomedical field. Natural biopolymers derived from various plant, animal and microbial sources with different biochemical compositions are extensively used in biomaterial industry with or without further medication to their native form. Biopolymeric biomaterials have been employed in a wide range of biomedical applications like tissue engineering, drug delivery, bone regeneration, wound dressings and cardiovascular surgery. Carbohydrate based biopolymers and protein based biopolymers are extensively used for several applications in the biomedical field including cartilage regeneration, periodontal tissue regeneration, bone regeneration, corneal regeneration, drug delivery and wound healing. This review work presents a comprehensive outlook on the applications of various biopolymers in biomedical field. The work elaborates the biochemistry of these polymers with special focus on their crucial properties in the biomedical industry. Further a detailed description on the most recent application of various biopolymers in the biomedical filed is presented in this review. This work further summarizes the current challenges and future prospects in the use of biopolymers in biomedical field. 2024 The Author(s)
Kalpana Manivannan R.; Sharma N.; Kumar V.; Jayaraj I.; Vimal S.; Umesh M.
Carbohydrate Polymer Technologies and Applications, Vol-8
https://doi.org/10.1016/j.carpta.2024.100536 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199339390&doi=10.1016%2fj.carpta.2024.100536&partnerID=40&md5=e98a42030665e5eb5597c6cc6ff5bf43
Kalpana Manivannan R., Institute of Biotechnology, Department of Bioengineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Sharma N., Department of Biochemistry, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Kumar V., Biomaterials and Tissue Engineering (BITE) Laboratory, Department of Community Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Jayaraj I., Department of Bioengineering, Institute of Biotechnology, Saveetha School of Engineering, SIMATS, Chennai, 602105, India; Vimal S., Department of Biochemistry, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Umesh M., Department of Life Sciences, Christ University, Karnataka, Bengaluru, 560029, India
Exploring the influence of KOH electrolyte concentration on the electrochemical properties of Co3O4-GO nanocomposite
Co3O4-GO nanocomposite; KOH concentration; Pseudocapacitance; Sheet-like morphology
In this study, we investigate the electrochemical performance of Co3O4-GO nanocomposite, synthesized via a hydrothermal method, as a function of electrolyte concentration. XRD, Raman, SEM, TEM, XPS, and BET techniques have been employed to examine the structural, microstructural, chemical states, and specific surface area characteristics of the composite material. According to SEM micrographs, the aggregated particles have a sheet-like morphology, and these sheets have been assembled into clusters. Using N2-adsorption/desorption isotherms, the pore volume, diameter, and specific surface area of composite were determined to be 0.24 cm3/g, 15 nm, and 63 m2/g, respectively. Based on cyclic voltammograms (CVs) recorded at different scan rates and electrolyte concentrations, the working electrode demonstrated pseudocapacitance behavior. The specific capacitance (Cs) of the fabricated electrode was estimated from GCD curves recorded at different current densities and electrolyte concentrations. For 1 M KOH solution, Cs of the composite electrode is found to be 258 F/g at 1 A/g, and this value drops to 222 F/g at 5 A/g. Furthermore the composite electrode's Cs decreases with increasing electrolyte concentration at a specific current density. The study indicates that 1 M of KOH electrolyte is the optimal electrolyte concentration for optimal energy storage. 2024 Elsevier Ltd
Kalpana S.; Bhat V.S.; Hegde G.; Anantharamaiah P.N.
Journal of Physics and Chemistry of Solids, Vol-190
https://doi.org/10.1016/j.jpcs.2024.112019 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188994292&doi=10.1016%2fj.jpcs.2024.112019&partnerID=40&md5=98f911368bf24b67b54d6d6cddd17e6e
Kalpana S., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India; Bhat V.S., Centre for Nano-materials & Displays (CND), B. M. S. College of Engineering, Bull Temple Road, Bangalore, 560019, India; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Hosur RD, Bhavani Nagar, S. G. Palya, Bangalore, 560029, India; Anantharamaiah P.N., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India
Electrochemical performance of ZnxCo3-xO4/N-doped rGO nanocomposites for energy storage application
Co3O4; CV; GCD; Nanocomposites; rGO; ZnCo2O4
In this study, nanocomposites consisting of zinc-doped cobalt oxides with a spinel structure and nitrogen-doped reduced graphene oxide (ZnxCo3-xO4 (x = 0 and 1))/N-doped rGO) were synthesized using a solvothermal method. The synthesized materials were investigated using XRD, TEM, EDS, BET, Raman, and XPS for their phase formation, morphology, elemental composition, surface area, and chemical states. XRD analysis revealed that the metal oxides (Co3O4 and ZnCo2O4) present in the composites exhibited a single-phase cubic spinel structure, with a nanocrystalline nature and crystallite size ranging from 8 nm to 20 nm. Raman and TEM analyses revealed the co-existence of metal oxide nanoparticles and N-doped rGO phases in the composites. Electrodes were fabricated using the synthesized nanocomposite materials and subjected to electrochemical testing, including CV, GCD and EIS. The specific capacitiance (Cs) of samples determined to be 181 F/g and 234 F/g for CO/NrGO (Co3O4/N-doped rGO) and ZCO/NrGO (ZnCo2O4/N-doped rGO) nanocomposites, respectively, at lower current density (0.5 A/g). At all current densities, the CS of ZCO/NrGO nanocomposite electrode is observed to be higher than the CO/NrGO nanocomposite, probably due to structural defects and uniform anchoring of ZnCo2O4 particles over the layers of NrGO. The ZCO/NrGO composite electrode exhibits ?86 % capacitance retention after 3000 cycles. 2024 Elsevier B.V.
Materials Chemistry and Physics, Vol-319
https://doi.org/10.1016/j.matchemphys.2024.129331 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190338794&doi=10.1016%2fj.matchemphys.2024.129331&partnerID=40&md5=517284b4ea1af312f14b8b5f0dc72c9d
Morphology-dependent supercapacitive properties of Co3O4 nanomaterials synthesized via coprecipitation and hydrothermal methods
Co3O4 ; Cyclic voltammetry; Electrochemical impedance spectra; Galvanostatic chargedischarge; Morphology; Specific capacitance
The supercapacitive properties of Co3O4 nanocrystalline powders with two different morphologies synthesized by coprecipitation (referred to as Co3O4C) and hydrothermal (referred to as Co3O4-H) methods were compared and studied. The samples were analyzed for their phase purity, crystal structure, surface morphology, and surface area. Both samples were found to be single-phase nanostructures with a normal spinel-type cubic crystal structure (space group Fd3m), as indicated by Raman and XRD (X-ray diffraction) data analyses. TEM (Transmission electron microscopy) images clearly show that the Co3O4C sample exhibits spherical particles with a mean size of 10 nm. On the other hand, the Co3O4H sample shows a flower-like assembly of particles. The Co3O4C sample has a higher specific surface area than the Co3O4-H sample due to its smaller particle size. XPS (X-ray photoelectron spectroscopy) data were collected to analyze the chemical states and cation distribution of the samples, revealing a 2:1 ratio of Co3+ and Co2+ in both samples. Both samples displayed pseudocapacitive behaviour in CV (cyclic voltammetry) and GCD (galvanostatic chargedischarge) analyses. Despite having a smaller surface area, the Co3O4H electrode exhibited a higher CS (specific capacitance) compared to the Co3O4C electrode at all current densities when tested using 1 M KOH electrolyte. At a specific current density (0.5 A/g), the Cs values for Co3O4C and Co3O4H are found to be 366 F/g and 233 F/g, respectively. As the current density increases, the specific capacitance of both electrodes decreases, but this reduction is more prominent for Co3O4-C than Co3O4-H. The study indicates that besides surface area, the morphology of the sample also plays a crucial role in determining the capacitance of a material. 2023 Elsevier B.V.
Kalpana S.; Bhat V.S.; Hegde G.; Niranjana Prabhu T.; Anantharamaiah P.N.
Inorganic Chemistry Communications, Vol-158
https://doi.org/10.1016/j.inoche.2023.111458 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171763553&doi=10.1016%2fj.inoche.2023.111458&partnerID=40&md5=b35be0cf535a6c22ed8efe1fa9085137
Kalpana S., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India; Bhat V.S., Centre for Nano-materials & Displays (CND), B. M. S. College of Engineering, Bull Temple Road, Bangalore, 560019, India; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Hosur RD, Bhavani Nagar, S. G. Palya, Bangalore, 560029, India; Niranjana Prabhu T., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India; Anantharamaiah P.N., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India
Hydrothermally synthesized mesoporous Co3O4 nanorods as effective supercapacitor material
Co3O4, morphology; Energy; Supercapacitors; Surface area
Mesoporous Co3O4 nanomaterial in rod-shape morphology has been synthesized via a hydrothermal method, and heat treated at 350 C for 2 h to develop a phase. Phase purity, morphology, specific surface area and chemical composition of as-obtained Co3O4 material were studied using XRD, Raman, TEM, N2-adsoprtion/desorption and XPS techniques. XRD and Raman analyses indicate single phase material formation with nano-structure, and cubic normal spinel-type structure with a cell parameter of 8.123 The spinel particles are of rod-shape morphology and the specific surface area, estimated through BET studies, is obtained as 47 m2/g. Cyclic voltammogram (CV) recorded at different scan rates evidently demonstrate pseudocapacitance nature of the synthesized material. Maximum specific capacitance (CS) is computed and the value is 261 F/g at 0.25 A/g. These materials have shown longer cycle stability at lower KOH concentration and lower current density. Synthesized Co3O4 nanomaterial could be used as electrode material for energy storage applications. 2023 Elsevier B.V.
Inorganic Chemistry Communications, Vol-154
https://doi.org/10.1016/j.inoche.2023.110984 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163209596&doi=10.1016%2fj.inoche.2023.110984&partnerID=40&md5=4d63cb50d60e05fbd06913322b91ae76
Kalpana S., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India; Bhat V.S., Centre for Nano-materials & Displays (CND), B. M. S. College of Enginnering, Bull Temple Road, Bangalore, 560019, India; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur RD, Bhavani Nagar, S. G. Palya, Bangalore, 560029, India; Niranjana Prabhu T., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India; Anantharamaiah P.N., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India
The evaluation of the electrochemical properties of Co3O4 nanopowders synthesized by autocombustion and solgel methods
Autocombustion; Co3O4; CV; Cycle stability; GCD; Solgel
The present investigation involves two synthesis methods, autocombustion (Co3O4-AC) and solgel (Co3O4-SG), for producing nearly spherical-shaped and polygonal shaped nanomaterials of spinel cobalt oxide (Co3O4) respectively as electrode materials. TEM image analysis unveiled distinct particle morphologies for the two samples. The Co3O4-AC particles exhibited a nearly spherical shape, whereas the Co3O4-SG particles displayed a polygonal shape. The phase purity of the Co3O4 samples were confirmed via XRD patterns analysis and the crystallite size was calculated to be 44nm for Co3O4-AC and 36nm for Co3O4-SG. The surface area, estimated via BET experiments, of Co3O4-AC was found to be 15m2/g, while Co3O4-SG exhibited a slightly lower surface area of 11m2/g. Co3O4-AC exhibited a higher specific capacitance (Cs) of 162F/g at 0.25A/g, indicating its superior energy storage capability. On the other hand, Co3O4-SG shows a Cs of 98F/g, indicating slightly lower performance compared to Co3O4-AC. Both nanomaterials exhibited better stability, with more than 85% capacity retention after 5000 chargedischarge cycles. 2023, The Author(s), under exclusive licence to the Institute of Chemistry, Slovak Academy of Sciences.
Kalpana S.; Bhat V.S.; Hegde G.; Prabhu T.N.; Anantharamaiah P.N.
Chemical Papers, Vol-78, No. 1, pp. 343-356.
Springer Science and Business Media Deutschland GmbH
https://doi.org/10.1007/s11696-023-03093-8 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173115955&doi=10.1007%2fs11696-023-03093-8&partnerID=40&md5=b6e94d6eca83c32baa0d97bc7086a2ff
Kalpana S., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India; Bhat V.S., Centre for Nano-Materials and Displays (CND), B. M. S. College of Engineering, Bull Temple Road, Bangalore, 560019, India; Hegde G., Department of Chemistry, CHRIST (Deemed to Be University), Hosur RD, Bhavani Nagar, S. G. Palya, Bangalore, 560029, India; Prabhu T.N., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India; Anantharamaiah P.N., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India
Relevance of backcasting as a strategic tool towards organisations' sustainable future ' A key to thrive in the VUCA world
Backcasting; Bibliometric analysis; Forecasting; Pandemic; Strategy; Sustainable future; VUCA
Purpose: The business world has become more turbulent than ever. Organisations must be proactive to meet the challenges of the increasingly disruptive, dynamic, and unpredictable world. One technique that has supported leaders and organisations under challenging circumstances is 'backcasting', which works by envisioning a desirable future state and then working backwards to attain it. The current study aims to extend an understanding of the backcasting practices and strategic approaches that can be used by leadership teams in different industries in order to survive in turbulent times and can be adapted within and beyond any pandemic. Methodology: The research employs a desktop research method to review and compare the most commonly used strategies that leaders from different sectors can use for their respective organisations to thrive in the VUCA world. Findings: There needs to be more research on the applicability and relevance of backcasting that the leaders of different sectors can employ. The study would provide insights that would bridge the existing research gap and come up with suitable strategies that can be employed for dealing with VUCA challenges in the Indian context. Significance: The outcome of the study will be helpful to the leaders in designing and aligning 'out of the box' backcasting strategies to survive in the highly disruptive world. 2024 The authors. Published under exclusive licence by Emerald Publishing Limited. All rights reserved.
Kalra R.; Vazirani K.; Kadam S.; Verma D.
VUCA and Other Analytics in Business Resilience, pp. 39-58.
Kalra R., School of Business and Management, Christ (Deemed to be University), Bangalore, India; Vazirani K., School of Business and Management, Christ (Deemed to be University), Bangalore, India; Kadam S., Symbiosis Institute of Business Management Pune, Symbiosis International (Deemed University), Pune, India; Verma D., School of Business and Management, Christ (Deemed to be University), Bangalore, India
Violence Prevention Climate and Turnover Intention: Mediating Role of Spirit at Work and Emotional Exhaustion
Burnout; IT employees; Spirit at work; Turnover intention; Violence prevention climate; Workplace violence
Workplace violence is a costly organizational problem. Violence prevention, incorporating employee perspectives on safe working policies, is crucial. A safe environment can enhance spirit at work, reducing burnout and turnover intention. This study investigates the relationship between violence prevention climate, emotional exhaustion, spirit at work, and turnover intention. Standardized tools were administered to 146 IT professionals aged 30-40 years. Results showed violence prevention climate positively correlated with spirit at work (r = 0.39; p < 0.001) and negatively with emotional exhaustion (r = -0.40; p < 0.001) and turnover intention (r = -0.35; p < 0.001). Emotional exhaustion mediated the relationship between violence prevention climate and turnover intention (b = -0.23; p < 0.001), while spirit at work did not show mediation. 2024 selection and editorial matter, Dr. Sundeep Katevarapu, Dr. Anand Pratap Singh, Dr. Priyanka Tiwari, Ms. Akriti Varshney, Ms. Priya Lanka, Ms. Aankur Pradhan, Dr. Neeraj Panwar, Dr. Kumud Sapru Wangnue; individual chapters, the contributors.
Health Psychology in Integrative Health Care, pp. 185-190.
Kalra S., Department of Psychology, Christ University, NCR, Delhi, India; Panwar N., Department of Psychology, Christ University, NCR, Delhi, India; Gorsy C., Department of Psychology, Ch. Bansilal Govt. College for Women, Haryana, Tosham, Bhiwani, India
Stakeholders' expressions of tech layoffs: A text mining analysis on the "Balance of Arguments"
The volume and nature of work undertaken by the tech employees is humongous, tech employees are known to manage those high tides because of attractive salary packages, perks, and other incentive options, which turn out to be a catastrophic collapse when such layoffs are levied, giving little or no room for a quick transfer to another job from the viewpoint of the affected employees. User-generated unstructured data content in the forms of either tweets, reviews, or comments from around seven major social media platforms were collected to understand the various expressions and discussions linked to layoffs. The collected data is further segregated into employee expressions, social media reviewers, news critiques views, etc., and their perspectives were further analysed. The overall analysis of sentiments on various stakeholders are formulated using Python (Juypter Notebook) package. The authors attempt to model out the viewpoints of various expressors and suggests various measures to be taken by the tech majors to better handle the phenomenon of layoffs. 2023, IGI Global. All rights reserved.
HR Analytics in an Era of Rapid Automation, pp. 54-63.
Kalyani V., CHRIST University, India; Praveen B.P., CHRIST University, India; Pradeep M., KPIT Technologies GmbH, Germany
Enhancement of Agriculture Feeder Performance by Optimal Sizing and Placing of Solar PV Tree through AEO-Based Optimization Technique
Agriculture Feeder; Artificial Eco-System Algorithm; Renewable Energy; Solar PV System; Solar Tree
Electrical demand, which makes up a large share of the overall power market, agriculture at the top of the list of priorities. To provide end users with a dependable and high-quality supply via various feeders and renewable energy sources, distribution generations are now being developed. In recent years, solar PV systems have been used to meet the demands of numerous applications, including boosting the efficiency of distribution networks. This paper presents the system with effect ive optimization method like Artificial Eco-System based Optimization Technique for identification of the best location to install distribution generation and the optimum size to minimize feeder losses. To meet service expectations, the integration of a solar PV system is swapped out for a solar tree in this suggested work. A 28-bus Indian agriculture feeder is considered for better understanding the proposed algorithm. MATLAB software is used for implementing the proposed optimization technique and CREO-2.0 is used for designing the 3-dimensional solar PV tree. 2023 by the Kamal Kumar U and Varaprasad Janamala.
International Journal of Electrical and Electronics Research, Vol-11, No. 3, pp. 781-787.
All Open Access; Hybrid Gold Open Access
https://doi.org/10.37391/ijeer.110322 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172452493&doi=10.37391%2fijeer.110322&partnerID=40&md5=eaba1cbc9d79d8b2eb460f5349989e50
Kamal Kumar U., Dept. of Electrical and Electronics Engineering, Faculty of Engineering, Christ (Deemed to be University), KA, Bangalore, 560 074, India; Janamala V., Dept. of Electrical and Electronics Engineering, Faculty of Engineering, Christ (Deemed to be University), KA, Bangalore, 560 074, India
Artificial Ecosystem-Based Optimization for Optimal Location and Sizing of Solar Photovoltaic Distribution Generation in Agriculture Feeders
Artificial ecosystem-based optimization; Composite load modeling; Distribution generation; Optimization; Radial distribution system; Solar photovoltaic system
In this paper, an efficient nature-inspired meta-heuristic algorithm called artificial ecosystem-based optimization (AEO) is proposed for solving optimal locations and sizes of solar photovoltaic (SPV) systems problem in radial distribution system (RDS) towards minimization of grid dependency and greenhouse gas (GHG) emission. Considering loss minimization as main objective function, the location and size of solar photovoltaic systems (SPV) are optimized using AEO algorithm. The results on Indian practical 22-bus agriculture feeder and 28-bus rural feeders are highlighted the need of optimally distributed SPV systems for maintaining minimal grid dependency and reduced GHG emission from conventional energy (CE) sources. Moreover, the results of AEO have been compared with different heuristic approaches and highlighted its superiority in terms of convergence characteristics and redundancy features in solving the complex, nonlinear, multi-variable optimization problems in real time. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Lecture Notes on Data Engineering and Communications Technologies, Vol-114, pp. 743-757.
Kamal Kumar U., Christ (Deemed To Be University), Karnataka, Bangalore, 560074, India, Sree Vidyanikethan Engineering College, Andhra Pradesh, Tirupati, 517102, India; Janamala V., Department of Electrical and Electronics Engineering, Faculty of Engineering, Christ (Deemed To Be University), Karnataka, Bangalore, 560074, India
Solar PV Tree Designed Smart Irrigation to Survive the Agriculture in Effective Methodology
Agriculture Feeder; ARDUINO; Renewable Energy; Smart irrigation; Solar PV system; Solar Tree
The global economy benefits significantly from agriculture. However, there are significant issues and difficulties in the irrigation sector as a result of a significant regional imbalance in power supply, water availability, rainfall, and adoption of technology. The most economical approach to supporting agriculture in the modern day is through irrigation powered by renewable energy. Productivity is impacted by environmental issues, defective irrigation systems, and unknowable soil moisture content in agricultural fields. Traditional watering systems might lose up to 50% of the water used due to ineffective irrigation, evaporation, and overwatering. As a result, the proposed study will modify solar tree-based smart irrigation systems that use the most recent sensors for real-Time or old data to influence watering flows and change watering schedules to enhance the system efficiency. One application of a wireless sensor network is proposed for low-cost wireless controlled irrigation and real-Time monitoring of soil water levels using Arduino controllers. Data is gathered for drip irrigation control using wireless acquisition stations powered by renewable energy, which lowers the risk of electrocution and boosts output. 2022 IEEE.
Proceedings - 2022 International Conference on Smart and Sustainable Technologies in Energy and Power Sectors, SSTEPS 2022, pp. 1-6.
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/SSTEPS57475.2022.00016 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161458054&doi=10.1109%2fSSTEPS57475.2022.00016&partnerID=40&md5=d2b4080eaf415d56ea412e1b07d158a6
Kamal Kumar U., CHRIST (Deemed to Be University), Dept. of Electrical and Electronics Engineering, Karnataka, Bangalore, 560074, India; Janamala V., CHRIST (Deemed to Be University), Faculty of Engineering, Dept. of Electrical and Electronics Engineering, Karnataka, Bangalore, 560074, India
A Multi Objective Artificial Eco-System Based Optimization Technique Integrating Solar Photovoltaic System In Distribution Network
Agriculture Feeder; Artificial Eco-System based Optimization; Distribution system; Multi Objective Optimization Technique; Solar PV system
Agricultural sector contributes 6.4% of total economic generation across the world. Notably, the utilization of technology to improve the yield and economy is rapidly increasing. To provide continuous supply to the residential customers, the agricultural feeder grid-dependency has to be integrated with Solar Photo Voltaic (SPV) systems. In this paper, an Artificial Eco-System based Optimization (AEO) algorithm is proposed for simultaneously identifying the locations and quantifying the sizes of SPV systems. A practical distribution system feeder 'Racheruvu 11kV agricultural feeder' Andhra Pradesh, India is considered for simulation purpose and the performance is compared with the standard IEEE-33 radial distribution system. 2022 IEEE.
International Conference on Trends in Electrical, Electronics, Computer Engineering, TEECCON 2022, pp. 128-134.
https://doi.org/10.1109/TEECCON54414.2022.9854838 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138118162&doi=10.1109%2fTEECCON54414.2022.9854838&partnerID=40&md5=f42dfd66cfca136a9bb00de4c311be6b
Kamal Kumar U., Christ (Deemed to Be University), Dept. of Electrical and Electronics Engineering, Bangalore, 560 074, India; Janamala V., Christ (Deemed to Be University), Faculty of Engineering, Dept. of Electrical and Electronics Engineering, Bangalore, 560 074, India
Comparative Analysis of Maize Leaf Disease Detection using Convolutional Neural Networks
Deep learning; Efficientnet; Inceptionv3; Visual Geometry Group(VGG)
Worldwide, maize is a significant cereal crop for crop productivity, identifying diseases in the plant's leaves is essential to raise a good crop. Deep learning methods that have been used in recent years to precisely identify and categorize these serious diseases, offering a non-destructive and effective way to find maize leaf ailments. In order to detect maize leaf disease, this paper suggests using three well-liked deep learning models: VGG16, Inception V3, and EfficientNet. The models were trained and assessed using a datasets of 4000 images of three distinct maize leaf diseases and a healthy class. All three models had high accuracy rates, according to the results, though EfficientNet outperformed the other two models. The suggested method can detect and track diseases in maize crops with high accuracy and can be applied practically. It can accurately classify various diseases. The study also demonstrates that deep learning models can offer a trustworthy and effective solution for detecting crop diseases, which can aid in lowering crop losses, raising crop yields, and enhancing food security. 2023 IEEE.
Kamalam G.K.; Rajasekar V.; Krishnasamy L.; Fathima Kadhoon M.
3rd IEEE International Conference on ICT in Business Industry and Government, ICTBIG 2023
Kamalam G.K., Kongu Engineering College, Department of Information Technology, Tamil Nadu, India; Rajasekar V., Kongu Engineering College, Department of Computer Science and Engineering, Tamil Nadu, India; Krishnasamy L., School of Engineering and Technology, Christ University, Department of Cse, Bengaluru, India; Fathima Kadhoon M., Kongu Engineering College, Department of Information Technology, Tamil Nadu, India
TSM: A Cloud Computing Task Scheduling Model
cloud resource; makespan; Min-Min; Task Scheduling; virtualization
Cloud offers online-based runtime computing services through virtualized resources, ensuring scalability and efficient resource utilization on demand. Resource allocation in the dynamic cloud environment poses challenges for providers due to fluctuating user demand and resource availability. Cloud service providers must dynamically and economically allocate substantial resources among dispersed users worldwide. Users, in turn, expect reliable and cost-effective computing services, requiring the establishment of Service Level Agreements (SLAs). Resource distribution uncertainty arises in view of the dynamicity of the cloud, where VMs, memory capacity requirement, processing power, and networking are allocated to user applications using virtualization technology. Resource allocation strategies must address issues such as insufficient provisioning, scarcity, competition, resources fragmentation. CPU scheduler plays a crucial role in task completion, by selecting job from queue considering specific requirements. The Task Scheduling Model (TSM) algorithm improves scheduling by considering expected execution time, standard deviation, and resource completion time, aiming to address resource imbalances and task waiting times. The research discusses previous work, presents experimental findings, describes the experimental setup and results, and concludes with future research directions. 2023 IEEE.
Kamalam G.K.; Shah N.H.; Krishnasamy L.; Manjunatha Swamy C.; Pathak L.K.; Vanitha P.
Proceedings of International Conference on Contemporary Computing and Informatics, IC3I 2023, pp. 1575-1580.
Kamalam G.K., Kongu Engineering College, Department of Information Technology, Tamil Nadu, India; Shah N.H., College of Computer Science & Information Technology, Department of Computer Science, Jazan University, Jazan, Saudi Arabia; Krishnasamy L., School of Engineering and Technology, Department of CSE, Christ University, Karnataka, Bengaluru, India; Manjunatha Swamy C., School of Engineering and Technology, Department of CSE, Christ University, Karnataka, Bengaluru, India; Pathak L.K., School of Engineering and Technology, Department of CSE, Christ University, Karnataka, Bengaluru, India; Vanitha P., Kongu Engineering College, Department of Information Technology, Tamil Nadu, India
Evaluating the usability of mhealth applications on type 2 diabetes mellitus using various mcdm models
Critic; MHealth applications; T2DM; Usability score
The recent developments in the IT world have brought several changes in the medical industry. This research work focuses on few mHealth applications that work on the management of type 2 diabetes mellitus (T2DM) by the patients on their own. Looking into the present doctor-to?patient ratio in our country (1:1700 as per a Times of India report in 2021), it is very essential to develop self?management mHealth applications. Thus, there is a need to ensure simple and user-friendly mHealth applications to improve customer satisfaction. The goal of this study is to assess and appraise the usability and effectiveness of existing T2DM?focused mHealth applications. TOP? SIS, VIKOR, and PROMETHEE II are three multi?criteria decision?making (MCDM) approaches considered in the proposed work for the evaluation of the usability of five existing T2DM mHealth applications, which include Glucose Buddy, mySugr, Diabetes: M, Blood Glucose Tracker, and OneTouch Reveal. The methodology used in the research work is a questionnaire?based evaluation that focuses on certain attributes and sub?attributes, identified based on the features of mHealth applications. CRITIC methodology is used for obtaining the attribute weights, which give the pri-ority of the attributes. The resulting analysis signifies our proposed research by ranking the mHealth applications based on usability and customer satisfaction. 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Kamaldeep; Roy S.; Poonia R.C.; Nayak S.R.; Kumar R.; Alzahrani K.J.; Alnfiai M.M.; Al?wesabi F.N.
https://doi.org/10.3390/healthcare10010004 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121655236&doi=10.3390%2fhealthcare10010004&partnerID=40&md5=72c70d7a4aacf468484bb9415a2ff172
Kamaldeep, Faculty of Computing and Information Technology, Usha Martin University, Ranchi, 835103, India; Roy S., Faculty of Computing and Information Technology, Usha Martin University, Ranchi, 835103, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, 560029, India; Nayak S.R., Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, 201301, India; Kumar R., Department of Computer Science and Engineering, GIET University, Rayagada, 765022, India; Alzahrani K.J., Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia; Alnfiai M.M., Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia; Al?wesabi F.N., Department of Computer Science, College of Science & Art at Mahayil, King Khalid University, Abha, 61421, Saudi Arabia, Department of Information Systems, Faculty of Computer and Information Technology, Sanaa University, Sanaa, 1993, Yemen